TransGAT fuses a fine-tuned Transformer's essay-level prediction with a graph attention network run over syntactic dependency edges, reporting an average QWK of 0.854 on ELLIPSE.
, author Tang, H
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TransGAT: Transformer-Based Graph Neural Networks for Multi-Dimensional Automated Essay Scoring
TransGAT fuses a fine-tuned Transformer's essay-level prediction with a graph attention network run over syntactic dependency edges, reporting an average QWK of 0.854 on ELLIPSE.